Derivation and Validation of Age-Associated Prognostic Gene Signatures Across Breast Cancer Subtypes

Authors

John Speers, Brigham Young University - ProvoFollow
Adrienne Parsons, Brigham and Womens Hospital
Elizabeth Feliciano, Kaiser Permanente
Sandra McAllister, Brigham and Womens Hospital
Lindsey Hale, Brigham Young University - ProvoFollow

Files

Keywords

breast cancer, nonlinear aging, prognostic gene signature, ridge-lasso regression

Abstract

Relatively little research has been done investigating the effects of linear age on breast-cancer specific mortality . The development of age-associated gene signatures may reveal interesting gene-set patterns with therapeautic potential. We hypothesize that the separation of patients into age categories will yield more predictive gene-signatures than an age-agnostic approach.

BYU ScholarsArchive Citation

Speers, John; Parsons, Adrienne; Feliciano, Elizabeth; McAllister, Sandra; and Hale, Lindsey, "Derivation and Validation of Age-Associated Prognostic Gene Signatures Across Breast Cancer Subtypes" (2026). Library/Life Sciences Undergraduate Poster Competition 2026. 38.
https://scholarsarchive.byu.edu/library_studentposters_2026/38

Document Type

Poster

Publication Date

2026-03-26

Language

English

College

Life Sciences

Department

Biology

University Standing at Time of Publication

Senior

Copyright Use Information

https://lib.byu.edu/about/copyright/